Guide to Replication files for Timothy J. Ryan and Ted Brader, �Gaffe Appeal: A Field Experiment on Partisan Selective Exposure to Election Messages�

List of files

- Ad report.csv: The raw advertisement report downloaded from Facebook. There is a row for how each of 846 ads performed on each day it was run.
- analysis-main: Conducts analyses in the paper and Supporting Information after working dataset has been created, with the exception of analysis pertaining to the manipulation check.
- analysis-manip: Conducts analysis of the manipulation check dataset.
- Codebook.pdf: Describes variables in all data sources.
- collapsed.dta: A Stata dataset that is an intermediate step between the raw dataset and the working dataset. It collapses (by day) the raw ad performance report, which has a row for each ad�s performance on each day.
- condinfo.csv: A spreadsheet that was uploaded to Facebook to program the ad campaigns. The ad performance report does not specify which condition each ad was assigned to, so you get the information from this spreadsheet.
- condinfo.dta: Ibid., but in State format.
- conditions.pdf: In the �condinfo� files, the conditions are labeled with letters. (E.g., the Obama-attacking Gaffe ad viewed by liberals is called condition A.) This document shows which ad got which label.
- import-main: The file that combines and cleans data to make a working dataset for analysis.
- import-manip: A file to clean the data for the manipulation check.
- manip.csv: Raw results from the manipulation check.
- manip.dta: A cleaned, working dataset for the manipulation check.
- Readme.txt: This file you�re reading right now!
- working.csv: The cleaned working dataset for main analyses.

For each Stata do file, there is also a .log file showing the output when it is run.
